Driver monitoring systems (DMS) are a key component of vehicular safety and essential for
the transition from semi-autonomous to fully autonomous driving. Neuromorphic vision …

Using a safety belt is crucial for preventing severe injuries and fatalities during vehicle
accidents. In this paper, we propose a real-time vehicle occupant safety belt detection …

驾驶员安全带检测作为计算机视觉的一个具体应用领域, 目前基于计算机视觉相关技术的驾驶员
安全带检测方法以节约人力, 实时监督, 高精度等优势逐渐成为研究热点. 对近年来驾驶员安全带 …

Precise and rapid detection of seatbelts is an essential research field for intelligent traffic
management. In order to improve the detection precision of seatbelts and speed up …

The issue of traffic accident fatalities is a serious concern on a global scale, and one of the
contributing factors is the failure of drivers to adhere to seat belt usage. A notable challenge …

This study investigates the application of Convolutional Neural Networks (CNNs) in object
detection and tracking, with specific focus on determining the number of passengers inside …

Seat belt detection is essential in transportation systems to reduce accidents. A seat belt can
prevent the driver from fatal injuries. Because the seat belt is a major safety feature inside …

Traffic road violations are increasing continuously in crowded and big cities, which requires
an automatic system for monitoring and detecting. This system should be accurate and …

The global surge in driving rates has led to a rise in accidents and injuries, particularly
affecting low and middle-income countries. Seat belts play a crucial role in protecting …

Seat belt is essential for avoiding fatalities and serious injuries in car accidents. Due to the
challenge of identifying vehicles in images of a traffic scene that are affected by complicated …